Natural Language Processing in Oncology: A Review

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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text

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Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*

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Extracting information from textual documents in the electronic health record: a review of recent research

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What can natural language processing do for clinical decision support?

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Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

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A review of approaches to identifying patient phenotype cohorts using electronic health records

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Classification of Cancer Pathology Reports: A Large-Scale Comparative Study

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Study of lipoprotein(a) and its impact on atherosclerotic cardiovascular disease: Design and rationale of the Mass General Brigham Lp(a) Registry

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Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

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Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials

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Unstructured Data Are Superior to Structured Data for Eliciting Quantitative Smoking History From the Electronic Health Record

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Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives

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The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis

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Generalizability and portability of natural language processing system to extract individual social risk factors

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A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology

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Artificial intelligence to unlock real‐world evidence in clinical oncology: A primer on recent advances

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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

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Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma

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Capture and coding of industry and occupation measures: findings from eight National Program of Cancer Registries states

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Exploration of Artificial Intelligence Use with ARIES in Multiple Myeloma Research

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Development and Effectiveness of a Clinical Decision Support System for Pressure Ulcer Prevention Care Using Machine Learning

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Deep learning-based detection of patients with bone metastasis from Japanese radiology reports

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Deficits in the Palliative Care Process Measures in Patients with Advanced Pancreatic Cancer Undergoing Operative and Invasive Nonoperative Palliative Procedures

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Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP

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Development of a privacy preserving large language model for automated data extraction from thyroid cancer pathology reportsPreprint

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Advanced Data Analytics for Clinical Research Part I: What are the Tools?

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Evaluation of an automated Presidio anonymisation model for unstructured radiation oncology electronic medical records in an Australian setting

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Feasibility and acceptability testing of CommSense: A novel communication technology to enhance health equity in clinician–patient interactions

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Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends

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Enhancing Oncological Surveillance Through Large Language Model-Assisted Analysis: A Comparative Study of GPT-4 and Gemini in Evaluating Oncological Issues From Serial Abdominal CT Scan Reports

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Artificial intelligence in critical care: Its about time!

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ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes

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Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer

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Overview of Algorithms for Natural Language Processing and Time Series Analyses

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Assessment of Natural Language Processing Methods for Ascertaining the Expanded Disability Status Scale Score From the Electronic Health Records of Patients With Multiple Sclerosis: Algorithm Development and Validation Study

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Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer

Andrieu, P. C., Pernicka, J. S. G., Yaeger, R. D., Lupton, K., Batch, K., Zulkernine, F. H., Simpson, A. L., Taya, M. D., Gazit, L., Nguyen, H. A., et al. (2022) · JCO Clinical Cancer Informatics · doi:10.1200/cci.22.00014 · Cited by 13

Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports

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Natural Language Processing and Text Mining (Turning Unstructured Data into Structured)

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Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care

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Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach

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Using Natural Language Processing to Classify Serious Illness Communication with Oncology PatientsPreprint

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Improving communication about goals of care for hospitalized patients with serious illness: study protocol for two complementary randomized trials

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Interpreting low-carbon transition at the subnational level: Evidence from China using a Natural Language Processing approach

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Anatomic stage extraction from medical reports of breast Cancer patients using natural language processing

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Improving natural language information extraction from cancer pathology reports using transfer learning and zero-shot string similarity

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Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study

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Validity of Natural Language Processing for Ascertainment of EGFR and ALK Test Results in SEER Cases of Stage IV Non–Small-Cell Lung Cancer

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From Sour Grapes to Low-Hanging Fruit: A Case Study Demonstrating a Practical Strategy for Natural Language Processing Portability.

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Incorporating Artificial Intelligence (AI) for Precision Medicine

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Artificial intelligence methods available for cancer research

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Association of Peer Comparison Emails With Electronic Health Record Documentation of Cancer Stage by Oncologists

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Analysis of ‘One in a Million’ primary care consultation conversations using natural language processing

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Impact of possible errors in natural language processing-derived data on downstream epidemiologic analysis

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Clinical Informatics Approaches to Understand and Address Cancer Disparities

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Implementing Structured Clinical Templates at a Single Tertiary Hospital: Survey Study

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Development of a Structured Query Language and Natural Language Processing Algorithm to Identify Lung Nodules in a Cancer Centre

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Text Mining in Electronic Medical Records Enables Quick and Efficient Identification of Pregnancy Cases Occurring After Breast Cancer

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Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing

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Clinical concept recognition: Evaluation of existing systems on EHRs

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Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review

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Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports

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Use of Natural Language Processing to Extract and Classify Papillary Thyroid Cancer Features From Surgical Pathology Reports

Loor-Torres, R., Wu, Y., Cabezas, E., Borras-Osorio, M., Toro-Tobón, D., Duran, M., Zahidy, M. A., Chavez, M. M., Jacome, C. S., Fan, J. W., et al. (2024) · Endocrine Practice · doi:10.1016/j.eprac.2024.08.008 · Cited by 9

Inferring bladder cancer research prioritization from patient-generated online content

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Generating high-quality data abstractions from scanned clinical records: text-mining-assisted extraction of endometrial carcinoma pathology features as proof of principle

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Electronic health record data mining for artificial intelligence healthcare

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Synergistic effects of radiotherapy and immunotherapy: improving oncological outcomes

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Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes

Leis, Á., Casadevall, D., Albanell, J., Posso, M., Macià, F., Castells, X., Ramírez‐Anguita, J. M., Roldán, J. M., Furlong, L. I., Sanz, F., et al. (2022) · JMIR Cancer · doi:10.2196/39003 · Cited by 9

Advancements and challenges in natural language processing in oral cancer research: A narrative review

Aggarwal, D., & Pallavi, K. (2024) · Cancer Research Statistics and Treatment · doi:10.4103/crst.crst_193_23 · Cited by 8

Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer

Lindsay, M. E., Oliveira, S. D., Sciacca, K. R., Lindvall, C. J., & Ananth, P. J. (2024) · JCO Clinical Cancer Informatics · doi:10.1200/cci.24.00134 · Cited by 8

A Look at Machine Learning in the Modern Age of Sustainable Future Secured Smart Cities

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Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods

Benda, N. C., Rogers, C., Sharma, M., Narain, W., Diamond, L. C., Ancker, J. S., Seier, K., Stetson, P. D., Sulieman, L. M., Armstrong, M., et al. (2022) · JCO Clinical Cancer Informatics · doi:10.1200/cci.22.00071 · Cited by 8

Prevalence and Nature of Financial Considerations Documented in Narrative Clinical Records in Intensive Care Units

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Clinical Text Classification for Tuberculosis Diagnosis Using Natural Language Processing and Deep Learning Model with Statistical Feature Selection Technique

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Natural Language Processing of Large-Scale Structured Radiology Reports to Identify Oncologic Patients With or Without Splenomegaly Over a 10-Year Period

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Ethical issues in pain and palliation

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Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish

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Extracting Relations between Radiotherapy Treatment Details

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From free‐text electronic health records to structured cohorts: Onconum, an innovative methodology for real‐world data mining in breast cancer

Simoulin, A., Thiébaut, N., Neuberger, K., Ibnouhsein, I., Brunel, N., Viné, R., Bousquet, N., Latapy, J., Reix, N., Molière, S., et al. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107693 · Cited by 7

A Survey (NLP) Natural Language Processing and Transactions on (NNL) Neural Networks and learning Systems

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Making sense of radiomics: insights on human–AI collaboration in medical interaction from an observational user study

Mlynář, J., Depeursinge, A., Prior, J. O., Schaer, R., Joly, A., & Évéquoz, F. (2024) · Frontiers in Communication · doi:10.3389/fcomm.2023.1234987 · Cited by 7

Prioritization of genes for translation: a computational approach

Rosa, S. C. D. S., Behrooz, A. B., Guedes, S. D. M., Vitorino, R. M. P., & Ghavami, S. (2024) · Expert Review of Proteomics · doi:10.1080/14789450.2024.2337004 · Cited by 7

A Novel Web Application for Rapidly Searching the Diagnostic Case Archive

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Cohort selection for clinical trials using multiple instance learning

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MetaTron: advancing biomedical annotation empowering relation annotation and collaboration

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Validation of Non–Small Cell Lung Cancer Clinical Insights Using a Generalized Oncology Natural Language Processing Model

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Artificial Intelligence in Cancer Diagnosis: A Game-changer in Healthcare

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Natural Language Processing Systems for Diagnosing and Determining Level of Lung Cancer: A Systematic Review

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Natural Language Processing for the Ascertainment and Phenotyping of Left Ventricular Hypertrophy and Hypertrophic Cardiomyopathy on Echocardiogram Reports

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Discovering Medication Patterns for High-Complexity Drug-Using Diseases Through Electronic Medical Records

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SPELL: A scalable NLP method using regular expressions and large language models for clinical information extraction

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Use of Natural Language Understanding to Facilitate Surgical De-Escalation of Axillary Staging in Patients With Breast Cancer

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Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study

Gaspar, F., Zayene, M., Coumau, C., Bertrand, E., Bettex, M., Pogam, M. L., & Csajka, C. (2025) · JMIR Medical Informatics · doi:10.2196/67837 · Cited by 4

Development and Effectiveness of a Clinical Decision Support System for Postembolization Syndrome after Transarterial Chemoembolization: A Randomized Controlled Trial

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Extracting critical clinical indicators and survival prediction of lung cancer from pathology reports using large language models

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A novel staging system derived from natural language processing of pathology reports to predict prognostic outcomes of pancreatic cancer: a retrospective cohort study

Li, B., Wang, B., Zhuang, P., Cao, H., Wu, S., Tan, Z., Gao, S., Li, P., Jing, W., Shao, Z., et al. (2023) · International Journal of Surgery · doi:10.1097/js9.0000000000000648 · Cited by 5

Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records

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Developing and Validating an Automatic Support System for Tumor Coding in Pathology Reports in Spanish

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Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective

Gupta, A. A., Bajaj, S., Nema, P., Purohit, A., Kashaw, V., Soni, V., & Kashaw, S. K. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.109918 · Cited by 5

The role of natural language processing in improving cancer care: A scoping review with narrative synthesis

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Harnessing Natural Language Processing for Advancements in Cancer Research: A Systematic Review

Bisht, M. S., Sarthak, & Kumar, Y. (2025) · International Conference on Circuit, Power and Computing Technologies · doi:10.1109/iccpct65132.2025.11176757

Natural Language Processing – Finding the Missing Link for Oncologic Data, 2022

Krauze, A. V., & Camphausen, K. A. (2022) · International Journal of Bioinformatics and Intelligent Computing · doi:10.61797/ijbic.v1i1.140 · Cited by 2

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Big Data in Oncology: Toward a Goal of Learning More From Every Patient

Chen, R. C. (2019) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2019.05.001 · Cited by 1